A review on image segmentation techniques
Many image segmentation techniques are available in the literature. Some of these
techniques use only the gray level histogram, some use spatial details while others use …
techniques use only the gray level histogram, some use spatial details while others use …
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac
magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish …
magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish …
The role of artificial intelligence in cardiovascular magnetic resonance imaging
AA Aromiwura, JL Cavalcante, RY Kwong… - Progress in …, 2024 - Elsevier
Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial
tissue characterization and chamber volumetric and functional evaluation. However, manual …
tissue characterization and chamber volumetric and functional evaluation. However, manual …
Learning topological interactions for multi-class medical image segmentation
Deep learning methods have achieved impressive performance for multi-class medical
image segmentation. However, they are limited in their ability to encode topological …
image segmentation. However, they are limited in their ability to encode topological …
Fast automatic myocardial segmentation in 4D cine CMR datasets
A novel automatic 3D+ time left ventricle (LV) segmentation framework is proposed for
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …
Incorporating prior knowledge in medical image segmentation: a survey
Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …
important step toward automating medical image analysis and is at the crux of a variety of …
Optic disc and cup segmentation from color fundus photograph using graph cut with priors
For automatic segmentation of optic disc and cup from color fundus photograph, we describe
a fairly general energy function that can naturally fit into a global optimization framework with …
a fairly general energy function that can naturally fit into a global optimization framework with …
Interactive hierarchical-flow segmentation of scar tissue from late-enhancement cardiac MR images
We propose a novel multi-region image segmentation approach to extract myocardial scar
tissue from 3-D whole-heart cardiac late-enhancement magnetic resonance images in an …
tissue from 3-D whole-heart cardiac late-enhancement magnetic resonance images in an …
A framework combining window width-level adjustment and Gaussian filter-based multi-resolution for automatic whole heart segmentation
K Cai, R Yang, H Chen, L Li, J Zhou, S Ou, F Liu - Neurocomputing, 2017 - Elsevier
Heart diseases are prevalent among the general population. These diseases can be
diagnosed in their early stages through a quantitative evaluation of cardiac functions. In a …
diagnosed in their early stages through a quantitative evaluation of cardiac functions. In a …
Cardiac MRI segmentation with focal loss constrained deep residual networks
C Li, M Chen, J Zhang, H Liu - Physics in Medicine & Biology, 2021 - iopscience.iop.org
Delineating anatomical structures for cardiac magnetic resonance imaging (CMRI) is crucial
for various medical applications such as medical diagnoses, treatment, and pathological …
for various medical applications such as medical diagnoses, treatment, and pathological …